Jun 11, 2021

[paper] SPICE Modeling of Cycle-to-Cycle Variability in RRAM Devices

E.Salvadora, M.B.Gonzalezb, F.Campabadalb, J.Martin-Martineza, R.Rodrigueza, E.Mirandaa
SPICE Modeling of Cycle-to-Cycle Variability in RRAM Devices
Solid-State Electronics; In Press, Journal Pre-proof
Available online 29 May 2021, 108040
DOI: 10.1016/j.sse.2021.108040

a) Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Valles, Spain
b) Institut de Microelectrònica de Barcelona, IMB-CNM, CSIC, 08193 Cerdanyola del Valles, Spain

Abstract: In this work, we investigated how to include uncorrelated cycle-to-cycle (C2C) variability in the LTSpice quasi-static memdiode model for RRAM devices. Variability in the I-V curves is first addressed through an in-depth study of the experimental data using the FITDISTRPLUS package for the R language. This provides a first approximation to the identification of the most suitable model parameter distributions. Next, the selected candidate distributions are incorporated into the model script and used for carrying out Monte Carlo simulations. Finally, the experimental and simulated observables (set and reset currents, transition voltages, etc.) are statistically compared and the model estimands recalculated if it is necessary. Here, we put special emphasis on describing the main difficulties behind this seemingly simple procedure.

Figure 4. Comparison of experimental and simulated parameter distributions: 
a) IHRS, b) VT, c) ILRS, and d) VR.

Acknowledgements: This work was supported by the Spanish Ministry of Science, Innovation and Universities through projects TEC2017-84321-C4-1-R, TEC2017-84321-C4-4-R, and PID2019-103869RB-C32.

Jun 10, 2021

The U.S. Senate passed a bill offering $52 billion to bolster domestic #chip #semi manufacturing



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[C4P] Special Issue on Advances in Sensor Devices for Biomedical Monitoring

0 cover




Call for Papers
Special Issue on Advances in Sensor Devices for Biomedical Monitoring

A biosensor is an analytical device, used for the detection of a chemical substance, that combines a biological component with a physicochemical detector. The sensitive biological element, e.g., tissue, microorganisms, organelles, cell receptors, enzymes, antibodies, nucleic acids, etc., is a biologically derived material or biomimetic component that interacts with, binds with, or recognizes the analyte under study. The transducer or the detector element, which transforms one signal into another one, works in a physicochemical way: optical, piezoelectric, electrochemical, electrochemiluminescence etc., resulting from the interaction of the analyte with the biological element, to easily measure and quantify. This special issue invites new strategies, innovative technologies, and algorithms to showcase the development in Sensor Devices for Biomedical Monitoring

The topic of interest includes the following:
  • Biomedical sensors for Persuasive Monitoring
  • Application of AI in biomedical sensor technology
  • Devices embedded in Biosensors for biomedical Monitoring
  • Automation in sensory devices for biomedical Monitoring
  • Impact of Digitization on development of Biosensors.
  • Flexible mechanics and electronic sensing devices for biomedical Monitoring
  • Translucent and elastic sensors for biomedical Monitoring
  • Automated Cell identification devices in biosensors for biomedical Monitoring
  • Impact of Silk fibroin substrate in the development of Biosensor
  • Study on Polymer electronic skin as Biosensor
  • Review and comparative study in Biosensor
Important Dates:
Paper Submission Deadline: February 25, 2022
Author Notificatione: May 05, 2022
Revised Papers Submissione: July 15, 2022
Final Acceptancee: September 27, 2022

Guest Editorial Team:
District University Francisco José de Caldas,
Bogotá, Colombia
Oxford Brookes University,
Oxford OX3 0BP, United Kingdom
Shibaura Institute of Technology,
Saitama 337-8570, Japan.

Jun 8, 2021

[paper] MOSFET Threshold Voltage Extraction

Nikolaos Makris and Matthias Bucher (IEEE Member)
On MOSFET Threshold Voltage Extraction 
Over the Full Range of Drain Voltage Based on Gm/ID
arXiv:2106.00747v1 [physics.app-ph] 1 June 2021

Abstract: A MOSFET threshold voltage extraction method covering the entire range of drain-to-source voltage, from linear to saturation modes, is presented. Transconductance-to-current ratio is obtained from MOSFET transfer characteristics measured at low to high drain voltage. Based on the charge-based modeling approach, a near-constant value of threshold voltage is obtained over the whole range of drain voltage for ideal, long-channel MOSFETs. The method reveals a distinct increase of threshold voltage versus drain voltage for halo-implanted MOSFETs in the low drain voltage range. The method benefits from moderate inversion operation, where high-field effects, such as vertical field mobility reduction and series resistances, are minimal. The present method is applicable over the full range of drain voltage, is fully analytical, easy to be implemented, and provides more consistent results when compared to existing methods.
Fig: Extraction of threshold voltage for a long-channel MOSFET from transconductance-to-current ratio (TCR) covering linear to saturation modes. (a) GmUT /ID obtained from ID vs. VG characteristics measured at different values of VDS (long-channel n-MOSFET) together with model (b) Criterion for threshold voltage nGmUT /ID varies among two asymptotic values in linear and saturation modes.

Aknowlegements: This work was partly supported under Project INNOVATION-EL-Crete (MIS 5002772).

Related papers:
[i] T. Rudenko, V. Kilchytska, M. K. M. Arshad, J. Raskin, A. Nazarov and D. Flandre, "On the MOSFET Threshold Voltage Extraction by Transconductance and Transconductance-to-Current Ratio Change Methods: Part I—Effect of Gate-Voltage-Dependent Mobility," in IEEE Transactions on Electron Devices, vol. 58, no. 12, pp. 4172-4179, Dec. 2011.
doi: 10.1109/TED.2011.2168226
[ii] T. Rudenko, V. Kilchytska, M. K. M. Arshad, J. Raskin, A. Nazarov and D. Flandre, "On the MOSFET Threshold Voltage Extraction by Transconductance and Transconductance-to-Current Ratio Change Methods: Part II—Effect of Drain Voltage," in IEEE Transactions on Electron Devices, vol. 58, no. 12, pp. 4180-4188, Dec. 2011.
doi: 10.1109/TED.2011.2168227
[iii] T. Rudenko, V. Kilchytska, M. K. M. Arshad, J. Raskin, A. Nazarov and D. Flandre, "Influence of drain voltage on MOSFET threshold voltage determination by transconductance change and gm/Id methods," ULIS, Cork, Ireland, 2011, pp.1-4.
doi: 10.1109/ULIS.2011.5758012








Jun 7, 2021

[paper] JART VCM v1 Verilog-A Compact

Model User Guide
Christopher Bengel, David Kaihua Zhang, Rainer Waser, Stephan Menzel

Electronic Materials Research Laboratory; RWTH Aachen University
Forschungszentrum Jülich

Abstract: The JART VCM v1a model was developed to simulate the switching characteristics of ReRAM devices based on the valence change mechanism. In this model, the ionic defect concentration (oxygen vacancies) in the disc region close to the active electrode (AE) defines the resistance state. The concentration changes due to the drift of the ionic defects. Furthermore, these oxygen vacancies act as mobile donors and modulate the Schottky barrier at the AE/oxide interface. In this model, Joule heating is considered, which significantly accelerates the switching process at high current levels. Since the JART VCM v1b model represents an improvement of the JART VCM v1a model, this user guide will have its focus on the JART VCM v1b model. Here, the equivalent circuit diagram (ECD) as well as some equations have been modified to explain the switching dynamics more accurately  Based on the JART VCM v1b model, a variability model was developed, which includes both device-to-device and cycle-to-cycle variability. In terms of the device-to-device variability, the VCM cells are initiated with statistical distributed parameters: filament lengths, filament radii and maximum and minimum values for the oxygen vacancy concentration in the disc. The cycle-to-cycle variability is achieved by changing the four quantities during SET and RESET. The latest extension of the JART VCM v1b also includes RTN, which is based on statistical jumps of oxygen vacancies into and out of the disc region.

Fig: Equivalent circuit diagram of the JART VCM v1b model (a) 
along with the electrical model in Verilog-A (b).

The Verilog-A code of this model can be downloaded here (Verilog-A file).
The User Guide for this model version can be downloaded here (User Guide PDF).








[paper] Compact Modeling of Flicker Noise in HV MOSFETs

Ravi Goel (Student Member, IEEE), Yogesh Singh Chauhan (Fellow, IEEE) 
Compact Modeling of Flicker Noise in High Voltage MOSFETs and Experimental Validation 
In 2021 IEEE Latin America Electron Devices Conference (LAEDC), pp. 1-4. IEEE, 2021 
DOI: 10.1109/LAEDC51812.2021.9437922

*Department of Electrical Engineering, Indian Institute of Technology Kanpur, India

Abstract: An analytical model of flicker noise (also called 1/f or low frequency noise) for the drift region is developed to formulate a 1/f model for high voltage MOSFETs using the subcircuit approach in this work. For halo doped drain extended MOSFET (DEMOS), the contribution factors of halo, channel and drift regions are obtained to capture anomalous behavior of 1/f noise. Similar to Halo doped DEMOS, for LDMOS, the contribution factors for channel and the drift region are obtained to capture the SID for different drain biases and channel lengths. The proposed model is validated with measurement data of 50V LDMOS and DEMOS.

Fig: Halo doped DEMOS and its sub-circuit equivalent. In halo doped DEMOS, the channel is divided into halo region and channel region, followed by drift region. In LDMOS, the channel is followed by the drift region. CFsh, CFch, and CFdrift are the contribution factors and are calculated using small-signal analysis.

Acknowledgments: The authors thank Sarvesh S. Chauhan for his valuable feedback. This work was partially supported by the Swarna Jayanti Fellowship (Grant No. – DST/SJF/ETA-02/2017- 18) and FIST Scheme (Grant No. – SR/FST/ETII-072/2016) of the Department of Science and Technology, India and Berkeley Device Modeling Center (BDMC).

Jun 3, 2021

#top10 biggest semiconductor companies last 2020 year



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Jun 2, 2021

[paper] Effect of the AC-Signal Frequency on Flat-Band Voltage of Al/HfO2/SiO2/Si Structures

Andrzej Mazurak, Bogdan Majkusiak
Investigation of the Anomalous Effect of the AC-Signal Frequency 
on Flat-Band Voltage of Al/HfO2/SiO2/Si Structures
Solid-State Electronics (2021) SSE 108107 
DOI:10.1016/j.sse.2021.108107

*TU Warsaw, Institute of Microelectronics and Optoelectronics, Koszykowa 75, 00-662 Warsaw, Poland

Abstract: MIS structures with double-layer HfO2/SiO2 gate stacks were fabricated. The admittance measurements revealed an anomalous voltage shift of the capacitance-voltage characteristics, modulated by the ac signal frequency. The effect is discussed in terms of the oxide charge modulation through the frequency dependent leakage mechanism.
Fig: Measured Gpm conductance–voltage characteristics for the n-type MIS structure.
  • An anomalous effect of the ac-signal frequency on the voltage shift of the CV characteristics of Al/HfO2/SiO2/Si devices was observed.
  • The observed effect is stable, reproducible, and reversible and is not driven by the measurement procedure or the measurement protocol parameters.
  • The effect is explained through a frequency dependent leakage conductance which affects the electric charge trapped interior the gate stack.
  • A linear dependence of the leakage conductance on the ac signal frequency is observed.

Jun 1, 2021

#Japan approves #chip development project with #TSMC



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Ranking of #top10 #foundries by revenue in 1Q21



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[review] CNTFET Technology for RF Applications

CNTFET Technology for RF Applications: Review and Future Perspective 
Martin Hartmann1,2, Sascha Hermann1,2,3, Phil F. Marsh4, Christopher Rutherglen4
Dawei Wang5, Li Ding6, Lian-Mao Peng6, Martin Claus7 
and Michael Schröter7 (Senior Member, IEEE)
(Invited Paper)
in IEEE Journal of Microwaves, vol. 1, no. 1, pp. 275-287, winter 2021, 
DOI: 10.1109/JMW.2020.3033781

1Center for Microtechnology, Chemnitz University of Technology, 09111 Chemnitz, Germany
2Center for Advancing Electronics Dresden, 09111 Chemnitz, Chemnitz
3Fraunhofer Institute for Electronic Nanosystems, 09126 Chemnitz, Germany
4Carbonics Inc., Culver City, CA 90230 USA
5Carbon Technology Inc., Irvine, CA 92619 USA
6Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, Department of Electronics, Peking University, Beijing 100871, China
7Chair for Electron Devices and Integrated Circuits, Technical University Dresden, 01069 Dresden, Germany


Abstract: RF CNTFETs are one of the most promising devices for surpassing incumbent RF-CMOS technology in the near future. Experimental proof of concept that outperformed Si CMOS at the 130 nm technology has already been achieved with a vast potential for improvements. This review compiles and compares the different CNT integration technologies, the achieved RF results as well as demonstrated RF circuits. Moreover, it suggests approaches to enhance the RF performance of CNTFETs further to allow more profound CNTFET based systems e.g., on flexible substrates, highly dense 3D stacks, heterogeneously combined with incumbent technologies or an all-CNT system on a chip.
Fig(a) sketch of a T-shape top gate on 4′′ wafer and (b) corresponding SEM image, (c) SEM image [I] in false colors depicting a multifinger buried gate CNTFET on an 8" wafer [II].

Acknowledgement: This work was supported in part by the German Research Foundation (DFG) through the Cluster of Excellence “Center for Advancing Electronics Dresden” (EXC1056/1); in part by the Federal Ministry of Education and Research under the project reference numbers 16FMD01K, 16FMD02 and 16FMD03, under the individual DFG Grant SCR695/6%25; in part by the National Key Research & Development Program under Grant 2016YFA0201901; in part by the National Science Foundation of China under Grants 61888102 and 61671020; in part by the Beijing Municipal Science and Technology Commission under Grant Z181100004418011; in part by the King Abdulaziz City for Science and Technology (KACST); in part by The Saudi Technology Development and Investment Company (TAQNIA); in part by the U.S. Army STTR Contract W911NF19P002; and in part by the SBIR programs from the U.S. National Science Foundation and the U.S. Air Force Research Laboratory.

REF:
[I] C. Rutherglen et al., "Wafer-scalable aligned carbon nanotube transistors operating at frequencies of over 100 GHz", Nature Electron., vol. 2, no. 11, pp. 530-539, 2019.
[II] M. Hartmann et al., "Gate spacer investigation for improving the speed of high-frequency carbon nanotube-based field-effect transistors", ACS Appl. Mater. Interfaces, vol. 12, no. 24, pp. 27461-27466, 2020.

Virtual Si Museum /2122/ HP Calculators

My own collection of the HP Calculators. The HP 21 was my very first Hewlett-Packard calculator. Here sorted by its number with HP 15C as most recent addition: 





May 31, 2021

May 26, 2021

[Review] Nanosheet Transistors Technology

Firas N. A. Hassan Agha1, Yasir H. Naif2, Mohammed N. Shakib3
Review of Nanosheet Transistors Technology
Tikrit Journal of Engineering Sciences (2021) 28 (1): 40-48
ISSN: 1813-162X (Print) ; 2312-7589 (Online)
DOI: http://doi.org/10.25 30/tjes.28.1.05
available online at: http://www.tj-es.com

1Electrical Department/ Engineering College; Mosul University; Mosul, Iraq
2Department of Computer Engineering; Faculty of Engineering, Tishk; International University; Erbil, Iraq
3Faculty of Electrical and Electronics; Engineering Technology, University; Malaysia Pahang; Pekan, Malaysia


Abstract: Nano-sheet transistor can be defined as a stacked horizontally gate surrounding the channel on all direction. This new structure is earning extremely attention from research to cope the restriction of current Fin Field Effect Transistor (FinFET) structure. To further understand the characteristics of nano-sheet transistors, this paper presents a review of this new nano-structure of Metal Oxide Semiconductor Field Effect Transistor (MOSFET), this new device that consists of a metal gate material. Lateral nano-sheet FET is now targeting for 3nm Complementary MOS (CMOS) technology node. In this review, the structure and characteristics of Nano-Sheet FET (NSFET), FinFET and NanoWire FET (NWFET) under 5nm technology node are presented and compared. According to the comparison, the NSFET shows to be more impregnable to mismatch in ON current than NWFET. Furthermore, as comparing with other nano-dimensional transistors, the NSFET has the superior control of gate all-around structures, also the NWFET realize lower mismatch in sub threshold slope (SS) and drain induced barrier lowering (DIBL).
Fig: Development of Field Effect Transistor from FinFET to MBCFET [Credit: Samsung]

Acknowledgment: The authors would like to thank University of Mosul for their support.


Principles, Applications, And The Future Of #Piezoelectric #MEMS https://t.co/1tVZd6d9xI #semi https://t.co/vgcNu4WGpt



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May 25, 2021

Global #200mm #Fab Capacity on Pace to Record Growth



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May 25, 2021 at 08:28PM
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#US #chip stimulus could unlock $150 billion, create 10 #fabs



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[papers] Aging and Device Reliability Compact Modeling

IEEE International Reliability Physics Symposium
(IRPS 2021)

[1] N. Chatterjee, J. Ortega, I. Meric, P. Xiao and I. Tsameret, "Machine Learning On Transistor Aging Data: Test Time Reduction and Modeling for Novel Devices," 2021 IEEE International Reliability Physics Symposium (IRPS), 2021, pp. 1-9, doi: 10.1109/IRPS46558.2021.9405188.

Abstract: Accurately modeling the I-V characteristics and current degradation for transistors is central to predicting circuit end-of-life behavior. In this work, we propose a machine learning model to accurately model current degradation at various stress conditions and extend that to make nominal use-bias predictions. The model can be extended to track and predict any parametric change. We show an excellent agreement of the model with experimental results. Furthermore, we use a deep neural network to model the I-V characteristics of aged transistors over a wide drain and gate playback bias range and show an excellent agreement with experimental results. We show that the model is reliably able to interpolate and extrapolate demonstrating that it learns the underlying functional form of the data.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9405188&isnumber=9405088

[2] P. B. Vyas et al., "Reliability-Conscious MOSFET Compact Modeling with Focus on the Defect-Screening Effect of Hot-Carrier Injection," 2021 IEEE International Reliability Physics Symposium (IRPS), 2021, pp. 1-4, doi: 10.1109/IRPS46558.2021.9405197.

Abstract: Accurate prediction of device aging plays a vital role in the circuit design of advanced-node CMOS technologies. In particular, hot-carrier induced aging is so complicated that its modeling is often significantly simplified, with focus limited to digital circuits. We present here a novel reliability-aware compact modeling method that can accurately capture the full post-stress I-V characteristics of the MOSFET, taking into account the impact of drain depletion region on induced defects.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9405197&isnumber=9405088

[3] Z. Wu et al., "Physics-based device aging modelling framework for accurate circuit reliability assessment," 2021 IEEE International Reliability Physics Symposium (IRPS), 2021, pp. 1-6, doi: 10.1109/IRPS46558.2021.9405106.

Abstract: An analytical device aging modelling framework, ranging from microscopic degradation physics up to the aged I-V characteristics, is demonstrated. We first expand our reliability oriented I-V compact model, now including temperature and body-bias effects; second, we propose an analytical solution for channel carrier profiling which-compared to our previous work-circumvents the need of TCAD aid; third, through Poisson's equation, we convert the extracted carrier density profile into channel lateral and oxide electric fields; fourth, we represent the device as an equivalent ballistic MOSFETs chain to enable channel “slicing” and propagate local degradation into the aged I-V characteristics, without requiring computationally-intensive self-consistent calculations. The local degradation in each channel “slice” is calculated with physics-based reliability models (2-state NMP, SVE/MVE). The demonstrated aging modelling framework is verified against TCAD and validated across a broad range of VG/VD/T stress conditions in a scaled finFET technology.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9405106&isnumber=9405088

Circuit Design and Simulation Marathon using eSIM

 

Indian Institute of Technology, Bombay

We are happy to announce the first ever #Circuit #Design and #Simulation #Marathon using #eSim! This event is jointly organized by #FOSSEE and VLSI System Design. The FOSSEE project developed at Indian Institute of Technology, Bombay is powered by MINISTRY OF EDUCATION, GOVERNMENT OF INDIA.

To know more about the Circuit Design and Simulation Marathon, please visit https://hackathon.fossee.in/esim/

Important dates:
>> Registration: 21 May 2021 - 15 June 2021
>> Marathon Launch : 17 June 2021

May 21, 2021

SIA/Oxford Economics Report: Robust federal incentives for domestic chip manufacturing



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DIY chip for $10k Efabless, a community chip creation platform



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[Program] SICT2021 aims to bridge the gap between research in the Information and Communications Technology (ICT) and the overarching and inter-related social, environmental, and economic questions of our time https://t.co/fyMzfIun8Z #semi https://t.co/gtU7xulUHt



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May 18, 2021

[paper] An Accurate Analytical Modeling of Contact Resistances in MOSFETs

G. Bokitko, D. S. Malich, V. O. Turin*, and G. I. Zebrev
An Accurate Analytical Modeling of Contact Resistances in MOSFETs
Preprint · May 7, 2021 DOI: 10.13140/RG.2.2.29348.40321

National Research Nuclear University MEPHI, Moscow, Russia;
*Orel State University, Russia;


Abstract: As the MOSFET channel lengths decrease, the influence of parasitic source-drain resistance on the current characteristics becomes more and more important. The contact resistance is becoming a growing impediment to transistor power and performance scaling. This is a common challenge for SOI FETs, FinFETs and GAAFETs and any other type of transistor. Most of the modern compact models that are used in circuits simulations are too much technology oriented. We find it important to construct an analytical approach that could be served as a basis for compact modeling. This approach is based on analytical solution Kirchhoff’s equations and on the diffusion-drift field effect transistor model.

Fig: Equivalent MOSFET circuit with series resistance


[paper] Generalized Devices for SPICE Simulation of Soft Errors

Chiara Rossi, André Chatel and Jean-Michel Sallese*
Modeling Funneling Effect With Generalized Devices for SPICE Simulation of Soft Errors
in IEEE Transactions on Electron Devices,
doi: 10.1109/TED.2021.3076028 
* EPFL, 1015 Lausanne (CH)

Abstract: Recent advances in CMOS scaling have made circuits more and more sensitive to errors and dysfunction caused by ionizing radiation, even at ground level, requiring accurate modeling of such effects. Besides generation, transport, and collection of radiation-induced excess carriers, another phenomenon, called funneling, has to be modeled for an accurate prediction of soft errors. The funneling effect occurs when the radiation track crosses a space charge region and generates excess carriers with a density higher than the doping close to it. These carriers distort the electric field of the space charge region, deeply changing the transport mechanism, from diffusion in a field-free semiconductor to drift. The objective of this work is to include funneling as part of the generalized lumped devices model in order to obtain a complete tool for SPICE-compatible simulations of single-event effects (SEEs). The latter approach has been recently proposed to simulate radiation-induced charges in the silicon substrate and is based on the so-called generalized lumped devices that simulate charge generation, propagation, and collection using standard circuit simulators. The generalized devices are here extended to include funneling and used to simulate an alpha particle impinging on the bulk of nMOS and pMOS transistors. The results obtained are validated with TCAD numerical simulations. Finally, a static random-access memory (SRAM) struck by an alpha particle is analyzed. The model predicts that the occurrence of a soft error, i.e., flipping of memory state, may depend on whether or not there is funneling. This justifies the need for accurate modeling of funneling phenomena to predict SEEs in ICs.

FIG: Generalized devices network obtained for the pMOS substrate. The mesh is drawn in gray dashed lines. The network is not shown around the radiation track; only the mesh is reported, which is denser to linearize the generation profile and excess carrier gradients.

Aknowlwdgement: This work was supported by the Swiss National Science Foundation (NSF) under Grant 200021_165773.

World’s First Fully #Recyclable #Printed #Electronics



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May 17, 2021

South #Korea plans US$450 #billion #semiconductor spend https://t.co/VZlr2nmDI8 #semi https://t.co/esg0nOljwu



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[FOSSEE eSim] EDS Webinar Invite - 26 May 2021

As part of our commitment to advancing the vision and mission of the Electron Devices Society, we are pleased to invite you to attend our next scheduled EDS Webinars

Topic: "eSim: An open source CAD software for circuit simulation"

Presenter:  Prof. Kannan Moudgalya

Read: Biography

Date: 26 May 2021

Time: 11:00 AM EST (Convert to your time zone)


Abstract: Free and Open Source Software for Education (FOSSEE) (https://fossee.in) is a project initiated by the Ministry of Education at IIT Bombay.  It promotes many open source software systems, such as Scilab, Python, R, OpenModelica, OpenFOAM and DWSIM. It also promotes open source hardware projects, such as Arduino, and OpenPLC. By combining KiCAD and Ngspice, FOSSEE has developed an open source circuit simulation software eSim (https://esim.fossee.in).  By incorporating GHDL, eSim has been made capable of carrying out mixed signal simulation.  This capability has been extended to simulate circuits with microcontrollers, with every instruction being implemented through a function written in C.  Finally, the FOSSEE team is in the process of creating a cloud version of eSim. FOSSEE carries out several activities to promote circuit simulation through eSim.  It has trained about 10,000 students (4,000 women and 6,000 men) and 5,000 faculty members (2,000 women and 3,000 men) on the use of eSim.  FOSSEE helps colleges migrate their labs from proprietary software to eSim.  More than 200 electronic circuits have been coded in eSim by students across India, and these are released as open educational resources. The FOSSEE team has also created automatic converters to migrate PSpice and LTSpice schematics to KiCAD, and hence, eSim.  More than 100 such coverted circuits are released as open educational resources. These resources are available to everyone anywhere in the world. The talk will begin with an introduction to Spoken Tutorials (https://spoken-tutorial.org) the methodology developed by the speaker for large scale training on IT topics.

 

All participants will receive WebEx details prior to the event.  We sincerely hope that you can join us for this special event. Register Now!

May 14, 2021

[paper] Vertical Transistor with a sub-1-nm Channel



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May 12, 2021

4th International DevIC 2021 Conference

DevIC 2021 LogoDevIC 2021

Conference Date: 19-20 May, 2021

(New date after Postponement due to COVID-19 and W.B. State General Election)
We are pleased to announce the upcoming 4th International Conference “2021 Devices for Integrated Circuit (DevIC)”, to be held at Kalyani Government Engineering College from March 24-25 May 19-20, 2021, organized by IEEE KGEC Student Branch Chapter in association with Department of ECE, KGEC and technically co-sponsored by IEEE EDS Kolkata Chapter. There will be keynote lectures, talks, tutorials, and oral presentations  by eminent researchers. We solicit original research and technical papers not published elsewhere.

DevIC 2021 Conference committee appeals ALL to contribute in West Bengal State Emergency Relief Fund and assist the State in prevention and control of situation arising out of unforeseen emergencies like COVID-19 (CORONA)

  • IEEE EDS Kalyani Government Engineering College Student Branch Chapter has decided to contribute to the West Bengal State Emergency Relief Fund to combat the coronavirus outbreak.

  • IEEE EDS Kalyani Government Engineering College Student Branch Chapter  thanks Dr. Wladek Grabinski (Senior IEEE EDS Member, MOS-AK (EU)) for coming forward to contribute to fight the Corona Virus outbreak.

Due to rapid increase in COVID affected people, request to Kindly join our hands and support us by donating to West Bengal State Emergency relief Fund

  • We must act immediately to take on the second, more severe wave of COVID-19.
  • Your support is vital and critical!
  • NO amount is small!!!
  • Your contribution will truly create an impact!!!
  • Kindly motivate others to donate!!!
  • Donate in West Bengal State Emergency Relief Fund to collectively fight against unprecedented COVID-19 pandemic.

DevIC 2021 is appealing all the participants to help fight the pandemic and saving lives.

Click here to donate in West Bengal State Emergency Relief Fund

Due to COVID-19, the conference will be organized in the online mode. 

DevIC 2021 Conference Committee

Kalyani Government Engineering College (KGEC) Website

May 11, 2021

Video lecture on Circuit Simulation and Device Modeling

Professor Mansun Chan, HKUST, has started a series of video lecture on Circuit Simulation and Device Modeling in his youtube channel https://www.youtube.com/channel/UCQKeknQioXvHk1wZZB-dliw/playlists He has finished about half and will continue to upload material in the rate of one video/month.  Please feel free to share if whenever you think is appropriate.  If you have any comments, please let Prof.Chan know.

Post of Assistant/Associate Professor

Namashivaya

Amrita Center for Nanosciences and Molecular Medicine is now inviting applications for the post of Assistant/Associate Professor and for Assistant Professor of Practice, in the Nano-Energy division. We are looking for candidates with excellent research experience and accomplishments in the field of energy and nanotechnology. Interested candidates should send detailed CV and copy of certificates to researchsecretary@aims.amrita.edu . You must also apply online. 
The last date for the receipt of applications is June 6.
 
Visit https://www.amrita.edu/jobs for more information. Phone: 0484 2858750.

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